Model training method, device, system and storage medium

A model training and model technology, applied in the field of communication, can solve the problems of low model accuracy, data cannot be shared and used, and the number of training data sets is insufficient.

Active Publication Date: 2019-03-19
BEIJING XIAOMI MOBILE SOFTWARE CO LTD
View PDF4 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, for some specific application scenarios, some data that can be used as training data sets cannot be shared due to user privacy, resulting in an insufficient number of training data sets, which in turn leads to low accuracy of the model obtained by training

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Model training method, device, system and storage medium
  • Model training method, device, system and storage medium
  • Model training method, device, system and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0114] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0115] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, and do not necessarily have to be interpreted as a specific sequence or sequence.

[0116] In order to make it easier for those skilled in the art to understand the technical solutions provided by the emb...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a model training method, device, system and storage medium. The method is applied to a model optimization node. The method includes: calling an intelligent contract stored in ablock chain to obtain a first block chain address of a data analysis model, wherein, the first block chain address is obtained and written into the intelligent contract by a model owning node after the data analysis model is written into the block chain; Querying the block chain according to the first block chain address to obtain a data analysis model; training data analysis model using preset first training data set to obtain model optimization information; Writing the model optimization information into the block chain to obtain a second block chain address; the second block chain addressis written into the intelligent contract, and the second block chain address is used for the model owning node to obtain the model optimization information. By adopting the technical proposal of the disclosed embodiment, user privacy can be ensured, and the problem of low precision of a model obtained by training due to insufficient number of training data sets in the related art can be overcome.

Description

technical field [0001] The present disclosure relates to the field of communication technologies, and in particular, to a model training method, device, system, and storage medium. Background technique [0002] Artificial intelligence is an integral part of data analysis. When using artificial intelligence technology for data analysis, it is usually necessary to select a large number of suitable training data sets to train models, and the number of training data sets is often a key factor in determining the performance of a model. [0003] However, for some specific application scenarios, some of the data that can be used as training datasets cannot be shared due to user privacy concerns, resulting in insufficient number of training datasets, resulting in low accuracy of the models obtained from training. SUMMARY OF THE INVENTION [0004] In order to overcome the problems existing in the related art, the present disclosure provides a model training method, apparatus, syste...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q40/04G06N20/00
CPCG06Q40/04
Inventor 赵硕杨天骄魏文亮宋少迪魏凯
Owner BEIJING XIAOMI MOBILE SOFTWARE CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products